Java: Data Science Made Easy

Testing the book decision tree

We will test the model with two different test cases. Both use identical code to set up the instance. We use the getTestInstance method with test-case-specific values and then use the instance with classifyInstance to get results. To get something that is more readable, we generate a string, which is then displayed:

Instance testInstance = decisionTree.         getTestInstance("Leather", "yes", "historical"); int result = (int) tree.classifyInstance(testInstance);             String results = decisionTree.trainingData.attribute(3).value(result);             System.out.println(         "Test with: " + testInstance + "  Result: " + results); testInstance = decisionTree.         getTestInstance("Paperback", "no", "historical"); result = (int) tree.classifyInstance(testInstance); ...